Index text fuzzy vs utl_match.jaro_winkler_similarity

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  Indexed text view Oracle is possible?

  Looks like you are indexing the file as part of a multi_column_datastore name but expected to read the contents of the file. How do you know that filename is a file that must be read, where the other columns are text indexing Oracle text directly?

  To index the content of a file, you must use the FILE_DATASTORE. There is no direct way to concatenate the contents of a file with columns of simple text - if you need to do this you need to use USER_DATASTORE, you read the contents of the file in the procedure of data store and filter it with CTX_DOC. POLICY_FILTER.

• performance of the 10g search text fuzzy

  Hello to all members of this community,

  IM new to this and I have a question that belongs to the Oracle 10g text.

  My configuration:

  Oracle Database 10 g Enterprise Edition Release 10.2.0.4.0 - 64 bit

  8 cores with each 2,5 GHz

  64 GB OF RAM

  What I would do:

  I would like to compare a large amount of games of lines between them so that human caused errors (e.g. spelling, typos) will not be tolerated.

  My setup of CONTEXT of the TEXT is as follows:

  MULTI_COLUMN_DATASTORE with each column to compare.

  begin
    ctx_ddl.create_preference('my_datastore', 'MULTI_COLUMN_DATASTORE');
    ctx_ddl.set_attribute('my_datastore', 'columns', 'column1, ...'); 
  end;
  

  BASIC_LEXER - with the parameters of the GERMANS:

  begin
     ctx_ddl.create_preference('my_lexer', 'BASIC_LEXER');
     ctx_ddl.set_attribute('my_lexer', 'index_themes', 'NO');
     ctx_ddl.set_attribute('my_lexer', 'index_text', 'YES');
     ctx_ddl.set_attribute('my_lexer', 'alternate_spelling', 'GERMAN');
     ctx_ddl.set_attribute('my_lexer', 'composite', 'GERMAN');
     ctx_ddl.set_attribute('my_lexer', 'index_stems', 'GERMAN');
     ctx_ddl.set_attribute('my_lexer', 'new_german_spelling', 'YES');
  end;
  

  BASIC_WORDLIST - with the parameters of the GERMANS:

  begin
     ctx_ddl.create_preference('my_wordlist', 'BASIC_WORDLIST');
     ctx_ddl.set_attribute('my_wordlist','FUZZY_MATCH','GERMAN');
     ctx_ddl.set_attribute('my_wordlist','FUZZY_SCORE','60'); --defaults
     ctx_ddl.set_attribute('my_wordlist','FUZZY_NUMRESULTS','100'); --defaults
     --ctx_ddl.set_attribute('my_wordlist','SUBSTRING_INDEX','TRUE'); --uncommented due to long creation time of index
     ctx_ddl.set_attribute('my_wordlist','STEMMER','GERMAN');
  end;
  

  And a BASIC_SECTION_GROUP with a field_section for each column.

  begin
    ctx_ddl.create_section_group(
      group_name => 'my_section_group', 
      group_type => 'BASIC_SECTION_GROUP'
    );
    ctx_ddl.add_field_section(
      group_name   => 'my_section_group',
      section_name => 'column1',
      tag          => 'column1'
    );
  ...
  end;
  

  I create the index with

  create index idx_myfulltextindex on fulltexttest(column1)
  indextype is ctxsys.context
  parameters ('datastore my_datastore 
               section group my_section_group 
               lexer my_lexer
               wordlist my_wordlist 
               stoplist ctxsys.empty_stoplist')
  

  Everything works well functionally.

  In my test scenario, I had a table with lines about 100,000 that has a primary key that is not in the CONTEXT index.

  The problem:

  I do a query like:

  SELECT SCORE(1), a.* 
  FROM fulltexttest a 
  WHERE CONTAINS(a.column1, 'FUZZY(({TEST}),,,W) WITHIN COUMN1', 1) 
    AND a.primkey BETWEEN 1000 AND 4000
  

  This will do a full text search in a set of 3000 lines. Here, the response time is almost immediate. Maybe a second.

  If I do the same in a slider repeatedly (> 1000) with various search terms, we take one of course a lot of time. It does in the average 1 requests per second.

  I thought that this cannot be that slow and I tested the same with:

  SELECT SCORE(1), a.* 
  FROM fulltexttest a 
  WHERE CONTAINS(a.column1, '({TEST}) WITHIN COUMN1', 1) 
    AND a.primkey BETWEEN 1000 AND 4000
  

  NOTE there is no fuzzy search more...

  With that, it is up to 20 times faster.

  The cpu of the server about 15% charge when the fuzzy query processing.

  So:

  If I do a fuzzy search, it seems do not access the index. I thought I was saying to the index to calculate the results of 100 extensions in advance.

  I'm doing it wrong? Or is it not possible to build a particular Index to the fuzzy search?

  Are there suggestions to improve performance? Note that I have already read the guide (7 Tuning Oracle Text). None caused advice cure.

  I would be grateful if anyone can help me in this case... Or simply to give an indication.

  Thank you

  Dominik

  The attributes of a list of words can be used to specify how developed the stems and fuzzies create prefix and substring index.

  If you do a lot of research with generic characters from end, like partialword % then a prefix index can make these quick searches.  If you do the research with two wildcard characters, such as % partialword % then an index of the substring can make this faster research.  There is a trade-off between taking time and storage space to create and maintain the index with prefixes and/or substrings and time of the query.  You can specify the minimum length of a prefix.  The shorter length, prefixes no longer possible and the longer it takes to create the largest index.  So you need to use depends on what types of queries you expect most of the time.

  I don't know if you have tested from queries.  The attribute index_stems of the lexer and the attribute of forms derived from the word list generator are in conflict.  You must keep the generator attribute of forms derived from the list of words and do not use the attribute index_stems of the lexer.

• Hang partitioned index text on construction

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  Y at - it an option to solve this problem?

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  Hello
  
  I use Oracle 11.2, I would like to make text fuzzy match on column contains the English and French letters. How can I set the value for FUZZY_MATCH via ctx_ddl.set_attribute
  
  Thanks in advance!
  
  create a tb_class (varchar2 (20) nm, addr varchar2 (200));
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  Start
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  end;
  
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  Select * from tb_class where contains (nm, 'cadfcc', weight)', 1) > 0;

  SCOTT@orcl_11gR2> create table tb_class
    2    (nm    varchar2 ( 20),
    3       addr  varchar2 (200))
    4  /
  
  Table created.
  
  SCOTT@orcl_11gR2> insert into tb_class values ('çadfécc', 'Paris')
    2  /
  
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    3        ('STEM_FUZZY_PREF', 'BASIC_WORDLIST');
    4    ctx_ddl.set_attribute
    5        ('STEM_FUZZY_PREF', 'STEMMER', 'AUTO');
    6    ctx_ddl.set_attribute
    7        ('STEM_FUZZY_PREF', 'FUZZY_MATCH', 'AUTO');
    8    ctx_ddl.create_preference
    9        ('LEXER_PREF', 'BASIC_LEXER');
   10    ctx_ddl.set_attribute
   11        ('LEXER_PREF', 'BASE_LETTER', 'YES');
   12  end;
   13  /
  
  PL/SQL procedure successfully completed.
  
  SCOTT@orcl_11gR2> create index class_nm_idx
    2  on tb_class (nm)
    3  indextype is ctxsys.context
    4  parameters
    5    ('wordlist  STEM_FUZZY_PREF
    6        sync        (on commit)
    7        lexer        LEXER_PREF')
    8  /
  
  Index created.
  
  SCOTT@orcl_11gR2> select * from tb_class
    2  where  contains (nm, 'fuzzy (çadfcc, 1, 5000, weight)', 1) > 0
    3  /
  
  NM
  --------------------
  ADDR
  --------------------------------------------------------------------------------
  çadfécc
  Paris
  
  1 row selected.
  

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  Hello

  I have a large table (350 million records) with a "full name" column

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  Thank you
  

  1590733 wrote:

  Yes, I get your point. The thing is that there is no "correct" available names and the original table is huge, that's what I thought:

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  SQL > ed

  A written file afiedt.buf

  1 Select a.fname as $fname1, b.fname as fname2

  2, utl_match.jaro_winkler_similarity (a.fname, b.fname) as a match

  3 typotable one

  4 join typotable b on (a.fname! = b.fname)

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  6 * 1.3 desc order

  SQL > /.

  $FNAME1 FNAME2 MATCH

  ---------- ---------- ----------

  FROCEN FROZEN 92

  FROZEN FROCEN 92

  FROZEN FROCEN 92

  FROZEN FROZEN 92

  JELLY FROZIN 93

  JELLY FROCEN 92

  FROZEN FROZEN 92

  FROZEN FROZIN 93

  WHIPLASH WIPLASH 96

  WHIPLASH WIPLASH 96

  10 selected lines.

  As you can see, for example, FROCEN has two possible variants, both with a football match of the 92.  The same with others.

  However, you could start cutting things around (and it's really a hack) to get something like:

  SQL > ed

  A written file afiedt.buf

  1 with t as)

  2. Select a.fname as $fname1, b.fname as fname2

  3, utl_match.jaro_winkler_similarity (a.fname, b.fname) as a match

  typotable a 4

  5 join typotable b on (a.fname! = b.fname)

  where the 6 utl_match.jaro_winkler_similarity (a.fname, b.fname) > = 85

  7       )

  8, ch. as)

  9 select $fname1, ($fname1, fname2) greatest as fname2, match

  10, (select count (*)

  11 t t2

  12 where t2.fname2 = t.fname2

  13 and t2.fname1! = t.fname1

  (14) as the NTC

  15 t

  16       )

  17, r as)

  18 select $fname1, fname2, match, cnt

  19, row_number() over (partition by $fname1 by cnt desc, desc match order): the nurse

  20 c

  21       )

  22 select $fname1, fname2

  23 r

  where the 24 rn = 1

  25 * order by 1

  SQL > /.

  $FNAME1 FNAME2

  ---------- ----------

  FROZEN FROCEN

  FROZEN FROZEN

  FROZEN FROZEN

  FROZIN FROZIN

  WHIPLASH WIPLASH

  WIPLASH WIPLASH

  6 selected lines.

  but then it depends on your data as to if it will work in all circumstances

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  There are different ways to optimize, some fast and partial and some more slow and painstaking.  Please see the procedure optimize_index of the ctx_ddl package:

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